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Articles 6721 - 6750 of 2913381
Full-Text Articles in Entire DC Network
A Comprehensive Review Of Hybrid Renewable Energy Systems: Integration Challenges And Optimization Strategies, Laith Jaafer Habeeb, Monaem Elmnifi, Wissam H. Alawee
A Comprehensive Review Of Hybrid Renewable Energy Systems: Integration Challenges And Optimization Strategies, Laith Jaafer Habeeb, Monaem Elmnifi, Wissam H. Alawee
Terra Joule Journal
Hybrid renewable energy systems (HRES) combine complementary renewable generators, storage and coordinated controls to reduce the variability and integration burden associated with single-source plants. This review synthesizes peer-reviewed studies, authoritative energy statistics and documented projects, with emphasis on solar–wind, hydro-coupled and multi-source configurations; storage selection; grid integration; and design and operational optimization. The evidence shows that the value of hybridization depends on resource complementarity, grid conditions, control architecture and life-cycle sizing rather than on technology combination alone. The review therefore distinguishes established findings from illustrative comparisons and avoids presenting literature-derived values as new experimental results. Six recurring implementation challenges are …
Artificial Intelligence-Based Mobile Robots: Development Trends And Challenges, Ahmed N. Abdalla, Johnny Koh Siaw Paw, Yaw Chong Tak, Lee Yan Kang, F. Benedict, Kharudin Ali, Liu Yao
Artificial Intelligence-Based Mobile Robots: Development Trends And Challenges, Ahmed N. Abdalla, Johnny Koh Siaw Paw, Yaw Chong Tak, Lee Yan Kang, F. Benedict, Kharudin Ali, Liu Yao
Terra Joule Journal
The integration of artificial intelligence (AI) with mobile robotics is transforming automation technologies, enabling advancements across industries such as manufacturing, healthcare, and hazardous material handling. As AI-driven mobile robots become increasingly prevalent, their ability to enhance operational efficiency and safety underscores the need for a comprehensive understanding of their underlying methodologies. This study critically examines the integration of nature-inspired optimization algorithms and deep learning techniques in autonomous mobile robotics, addressing key research gaps related to adaptability, real-time decision-making, and energy-efficient operations. A significant contribution of this work is the exploration of the synergistic application of bio-inspired heuristics and AI-driven perception …
Robotic Vision System: Recent Development Trends And Challenges, Johnny Koh Siaw Paw, Yaw Chong Tak, Lee Yan Kang, F. Benedict
Robotic Vision System: Recent Development Trends And Challenges, Johnny Koh Siaw Paw, Yaw Chong Tak, Lee Yan Kang, F. Benedict
Terra Joule Journal
Robotic vision systems have become integral to modern industrial automation, enabling high-precision manufacturing, real-time quality inspection, and autonomous decision-making. This study explores the latest advancements, key challenges, and future prospects of robotic vision in industrial applications. It examines issues related to real-time target recognition, algorithm optimization, system stability, and integration with intelligent control systems. Additionally, emerging technologies such as deep learning-based vision enhancement, multi-sensor fusion, and Vision-Based Tactile Sensors (VBTS) are analyzed for their potential to improve adaptability and efficiency. The findings highlight both the limitations and the promising trajectory of robotic vision systems, emphasizing the need for continued research …
Artificial Neural Network-Based Diagnosis Of Wind Turbine Blade Faults Using Vibration Analysis At Constant Operational Speed, Zeashan Hameed Khan, Shabbir Ahmad, Ali Habeeb Askar
Artificial Neural Network-Based Diagnosis Of Wind Turbine Blade Faults Using Vibration Analysis At Constant Operational Speed, Zeashan Hameed Khan, Shabbir Ahmad, Ali Habeeb Askar
Terra Joule Journal
Wind turbine blade faults, such as surface erosion, cracks, mass imbalance, and twist deformation, significantly compromise operational efficiency and reliability, thereby increasing maintenance costs. This research presents an artificial neural network (ANN)-based diagnostic approach for identifying five distinct fault states in wind turbine blades using vibration signal data collected at a constant operational speed of 1.3 m/s. The dataset, which encapsulates real-world vibration responses under varying fault conditions, was analyzed to extract amplitude features for classification. A balanced dataset of 500 samples per class was used to ensure robust training and evaluation. The ANN model achieved highly reliable performance, with …
Adaptive Phishing Url Detection Using Hybrid Fuzzy C-Means Clustering And Xgboost, Muntadher Mohammed Kareem, Rawaa I. Farhan
Adaptive Phishing Url Detection Using Hybrid Fuzzy C-Means Clustering And Xgboost, Muntadher Mohammed Kareem, Rawaa I. Farhan
Karbala International Journal of Modern Science
Phishing attacks continue to evolve in sophistication, rendering static detection methods increasingly ineffective. Existing URL-based approaches suffer from limited adaptability to emerging phishing patterns, mislabeled training data, and insufficient validation protocols. This paper proposes a hybrid phishing URL detection system that integrates Fuzzy C-Means (FCM) clustering with XGBoost classification, enhanced by a novel Micro Adaptive Feature Extractor (MAFE). The system employs a multi-stage pipeline: feature engineering generating 36 statistical and interaction features, MAFE producing 15 adaptive features through class-aware dynamic weighting, micro-pattern detection, and entropy analysis, and FCM with K=2 clusters providing soft membership features to XGBoost. A two-pass confidence-based …
Learning, Abstraction, And Creative Search For Interactive Agents, Jonathan Demke
Learning, Abstraction, And Creative Search For Interactive Agents, Jonathan Demke
Theses and Dissertations
Artificial intelligence systems are increasingly deployed as autonomous agents that interact directly with complex environments. Ensuring these agents remain reliable, adaptable, and useful presents an ongoing practical challenge. This dissertation studies agent-environment interactions through a progressive lens, examining behavior from foundational training stability and abstraction discovery to adaptation in unpredictable settings and open-ended creative search. The investigation begins by analyzing how hyperparameter settings affect early-stage Deep Q-Network performance, yielding practical guidelines for debugging reinforcement learning implementations. To address the challenge of long-horizon planning, the discovery of temporally extended options is formalized as the Minimum Shortcut Problem, demonstrating how agents can …
Ai-Enhanced Fluorescein Angiography Detection Of Diabetes-Induced Silent Retinal Capillary Dropout And Rna-Seq Identification Of Pre-Symptomatic Biomarkers, Yiyan Peng, Huishi Toh, Dennis Clegg, Peng Jiiang
Ai-Enhanced Fluorescein Angiography Detection Of Diabetes-Induced Silent Retinal Capillary Dropout And Rna-Seq Identification Of Pre-Symptomatic Biomarkers, Yiyan Peng, Huishi Toh, Dennis Clegg, Peng Jiiang
Biological, Geological, and Environmental Faculty Publications
Objective: Retinal capillary dropout, characterized by acellular capillaries or "ghost vessels," is an early pathological sign of diabetic retinopathy (DR) that remains undetectable through standard clinical imaging techniques until visible morphological changes, such as microaneurysms or hemorrhages, occur. This study aims to develop a non-destructive artificial intelligence (AI)-based method using fluorescein angiography (FA) images to detect early-stage, silent retinal capillary dropout.
Methods: We utilized 94 FA images and corresponding destructive retinal capillary density measurements obtained through retinal trypsin digestion from 51 Nile rats. Early capillary dropout was defined as having an acellular capillary density of >= 18 counts per mm2. …
A Staff Nurse-Led Clinical Instructional Competency Program To Improve Clinical Judgement In Undergraduate Nursing Students: A Quality Improvement Initiative, Shana Skeffrey
Doctor of Nursing Practice (DNP) Manuscripts
There is increasing concern that new graduate nurses are leaving bedside roles early in favor of less stressful positions due to rising patient acuity and heightened organizational expectations, increasing the effects of the nursing shortage (McClosky et al., 2022; AACN, 2024). A standardized clinical experience, combined with fair and consistent access to skill application in the hospital setting can support a collaborative approach for undergraduate nursing students. This quality improvement project is aimed to implement a Staff Nurse-Led Clinical Instructional Competency Program that will provide a structured opportunity for clinical instructors to help fill the gap in preparing undergraduate nurses …
Feasibility And Acceptability Of A Home-Health Aide-Delivered Loneliness Reduction Program In A Small Home Care Agency: The Caring Connections Quality Improvement Project, Tontalayia L. Robinson
Feasibility And Acceptability Of A Home-Health Aide-Delivered Loneliness Reduction Program In A Small Home Care Agency: The Caring Connections Quality Improvement Project, Tontalayia L. Robinson
Doctor of Nursing Practice (DNP) Manuscripts
Loneliness is a significant public health concern that adversely affects mental, cognitive, and physical health, with consequences comparable to smoking 15 cigarettes per day. Home care recipients experience loneliness at rates of 15.9% to 24.2%, yet home-health aides (HHAs), who often have the most consistent contact with homebound clients, lack structured tools for recognizing and responding to loneliness. This gap highlights the need for practical, evidence-based strategies that can be integrated into routine home care practice. The purpose of this Doctor of Nursing Practice quality improvement project was to evaluate the feasibility, acceptability, and appropriateness of a home-health aide–delivered loneliness …
A Quality Improvement Initiative Utilizing Help To Reduce Delirium, Improve Patient Outcomes, And Provide Age Friendly Care For Patients 65 Years Of Age Or Older With Modifiable Delirium Risk Factors., Maggie Blake
Doctor of Nursing Practice (DNP) Manuscripts
Background: Delirium, an acute change in cognition, occurs in 21% of hospitalized patients and is linked to increased length of stay, readmissions, and increased mortality (Shen et al., 2024). In older adults, delirium prevalence increases and is linked to poor outcomes that inhibit patients' health care goals (Shen et al., 2024). Despite the well-published harms of delirium and standardized prevention measures, delirium prevention is not prioritized. Methods: HELP, originally the Hospital Elder Life Program, now preferred to be known as HELP, is a standardized delirium prevention model specifically designed to address the unique needs of hospitalized older adult patients. HELP …
Improving Chlamydia Testing For Females Through Universal Screening In Outpatient Pediatric Primary Care: An Adolescent Quality Improvement Initiative, Christina Howard
Improving Chlamydia Testing For Females Through Universal Screening In Outpatient Pediatric Primary Care: An Adolescent Quality Improvement Initiative, Christina Howard
Doctor of Nursing Practice (DNP) Manuscripts
Chlamydia is the most common sexually transmitted infection in the United States in adolescents and young adults (Dutra & Lazenby, 2023). Per Smith, Reirden, and Nyquist (2022), adolescents and young adults between the ages of 15 and 24 account for more than 60% of new chlamydia infections each year. Testing for chlamydia is not standardized, and it is estimated that only 50% of those who qualify receive a yearly screening American Sexual Health Association. (2021). If outpatient testing and treatment is not improved these asymptomatic cases will be missed, infections in general will increase, and reinfections may occur leading to …
Enhancing New Graduate Nurse Confidence And Patient Safety Through Clinical Development Coach Integration, Megan T. Kramer
Enhancing New Graduate Nurse Confidence And Patient Safety Through Clinical Development Coach Integration, Megan T. Kramer
Doctor of Nursing Practice (DNP) Manuscripts
The transition from student to professional nurse is a critical developmental stage often marked by heightened stress, emotional exhaustion, and uncertainty in clinical judgment. These challenges frequently contribute to lower confidence levels, increased anxiety, and higher risks for patient safety events among new graduate nurses. This program evaluation project aims to assess the effectiveness of integrating a Clinical Development Coach (CDC) role to enhance new graduate nurse’s confidence, comfort, and overall competence while reducing patient safety incidents on a trauma/surgical inpatient unit in a medical center on the East coast. The CDC role is a structured mentorship and resource position, …
Implementation Of A Deteriorating Patient Simulation For New Graduate Nurses To Improve Clinical Judgment: A Quality Improvement Project, Kasey Mundell
Doctor of Nursing Practice (DNP) Manuscripts
New graduate nurses (NGNs) often have trouble recognizing and responding to patient deterioration because of limited clinical judgment and confidence during the transition to practice. This quality improvement project evaluated the implementation of a high-fidelity deteriorating patient simulation within a new graduate nurse orientation program at a Level I trauma center. Guided by the Plan-Do-Study-Act framework and the International Nursing Association for Clinical Simulation and Learning (INACSL) Standards of Best Practice, the simulation focused on the assessment and management of a patient experiencing pulmonary embolism. Eight NGNs participated in the simulation and completed the Attitudes Toward Recognizing Early and Noticeable …
From Novice To Competent: Enhancing Orientation And Readiness For Post-Anesthesia Care Nurses, Gerri Y. Young
From Novice To Competent: Enhancing Orientation And Readiness For Post-Anesthesia Care Nurses, Gerri Y. Young
Doctor of Nursing Practice (DNP) Manuscripts
Post-anesthesia care unit (PACU) nurses are responsible for managing complex postoperative patients requiring advanced clinical judgment, airway management, hemodynamic monitoring, and rapid recognition of complications. Many nurses transition into the PACU without formal perianesthesia education, resulting in variability in orientation practices, competency validation, and preparedness for independent practice. At a military treatment facility (MTF) in Mississippi, 78% of newly assigned PACU nurses had only one to two years of medical-surgical experience, and a standardized orientation program was not available.
This quality improvement project aimed to implement and evaluate a standardized, evidence-based PACU orientation program designed to improve nurse knowledge, confidence, …
Maternal Microchimerism As A Mechanism Of Developmental Origins Of Health And Disease, Amy M. Boddy, Kristine J. Chua
Maternal Microchimerism As A Mechanism Of Developmental Origins Of Health And Disease, Amy M. Boddy, Kristine J. Chua
Human Biology Open Access Pre-Prints
The in utero environment is now widely recognized as a critical determinant of health across the entire lifespan. The developmental origins of health and disease (DOHaD) framework has established that prenatal exposures, including maternal stress, infection, nutrition, and environmental toxins, can impact fetal development in profound ways associated with disease risk from infancy to old age. Yet a fundamental aspect of pregnancy, the bidirectional exchange of maternal and fetal cells, DNA, and other biological material, a phenomenon known as microchimerism, has received little attention in this context. Maternal cells and genomic material transfer to the developing fetus early in utero …
Sing Lustily And With Good Courage: Reinventing Methodist Hymns In The Context Of The Indonesian Methodist Church, Budi Taniwan
Sing Lustily And With Good Courage: Reinventing Methodist Hymns In The Context Of The Indonesian Methodist Church, Budi Taniwan
Doctor of Pastoral Music Projects and Theses
The majority of Methodist churches continue to uphold the legacy of hymn singing, a practice highly esteemed by early Methodists. John and Charles Wesley employed hymns alongside sermons as a means of teaching Methodist theology, shaping Christian discipleship, and forming Methodist identity. However, in contemporary times, Indonesian Methodist churches recite fewer doctrinal hymns. Inadequate early translations, the absence of authentically Indonesian Methodist hymns, and the emergence of contemporary Christian music have contributed to this decline. Changes in liturgy, worship culture, and technology have also transformed the way congregations learn and sing their faith. This study explores the historical and theological …
Fast Mr Imaging: Reducing Sedation And Improving Patient Experience, Hajir Aljumaily
Fast Mr Imaging: Reducing Sedation And Improving Patient Experience, Hajir Aljumaily
Radiologic Sciences
Purpose To examine the impact of fast magnetic resonance (MR) protocols on sedation requirements, patient tolerance, workflow efficiency, and diagnostic accuracy in musculoskeletal and brain imaging.
Method An integrative literature review was conducted using PubMed, CINAHL, and Google Scholar to identify peer-reviewed, original research articles published between 2019 and 2026. Studies were selected for relevance, human subjects, and outcomes related to sedation, patient experience, or diagnostic effectiveness.
Results Fast MR protocols were consistently associated with reduced sedation use, improved patient comfort, and increased exam completion rates. Workflow efficiency improved due to shorter scan times. Although minor reductions in image quality …
Disengagement And Reconnection: Investigating The Role Of Purpose And Identity Seeking Across Career Stages In Healthcare, Charmel Renee Jeffery
Disengagement And Reconnection: Investigating The Role Of Purpose And Identity Seeking Across Career Stages In Healthcare, Charmel Renee Jeffery
Radiologic Sciences
Purpose To examine the generational purpose gap in healthcare by identifying the psychological and environmental factors underlying early-career disengagement and late-career reconnection.
Method An integrative literature review was conducted using four academic databases. An artificial intelligence (AI)-assisted thematic synthesis was applied to extract and organize findings within a standardized analytic matrix. To ensure accuracy and rigor, all AI-generated outputs were validated against the original source data.
Results Two primary themes emerged. Early-career healthcare workers commonly experienced disengagement associated with destiny beliefs, while later-career professionals demonstrated renewed purpose and resilience despite ongoing stressors.
Discussion The findings revealed a pronounced generational divide …
Mr-Linac Technology, Katherine Orellana
Mr-Linac Technology, Katherine Orellana
Radiologic Sciences
Purpose To examine the clinical advantages of magnetic resonance-guided linear accelerator (MR-Linac) technology in radiation therapy, with a focus on treatment accuracy, adaptive planning, and patient outcomes.
Method A literature review was conducted using peer-reviewed articles identified through The University of Texas MD Anderson Cancer Center Research Medical Library. Studies published between 2022 and 2026 were included if they addressed the clinical advantages of MR-Linac technology. Findings were synthesized using thematic analysis.
Results Three primary themes emerged: (a) superior soft-tissue visualization improved tumor delineation and treatment accuracy; (b) daily adaptive treatment planning and real-time tumor tracking enhanced precision by accounting …
Impact Of Music On Patient Comfort During Mr Scans: A Literature Review, He Yan
Impact Of Music On Patient Comfort During Mr Scans: A Literature Review, He Yan
Radiologic Sciences
Purpose To investigate the influence of auditory stimuli on patient comfort levels during magnetic resonance (MR) imaging, with particular emphasis on indicators of distress, duration of patient positioning, and utilization of emergency signaling devices.
Method An integrative literature review was undertaken utilizing peer-reviewed research articles sourced from journals within the fields of radiology, music therapy, and clinical practice. A comprehensive search was conducted across databases such as PubMed, ScienceDirect, SpringerLink, and Oxford Academic employing keywords including MR anxiety, music therapy, and patient comfort.
Results The body of literature consistently indicated that auditory stimuli significantly mitigate patient anxiety and distress in …
Cinematic Architecture: A Method For Experiencing And Designing Space Through Time, Byounggul Lim
Cinematic Architecture: A Method For Experiencing And Designing Space Through Time, Byounggul Lim
International Programs
No abstract provided.
Learning From Past Eruptions To Prepare For The Future: Highlights From Santa Ana Volcano, El Salvador, Dennis Lemus
Learning From Past Eruptions To Prepare For The Future: Highlights From Santa Ana Volcano, El Salvador, Dennis Lemus
International Programs
No abstract provided.
Labuan Bajo Menara Vokasi: Weaving The Threads Of Pentahelix Collaboration, Yulian Pauli Fardani
Labuan Bajo Menara Vokasi: Weaving The Threads Of Pentahelix Collaboration, Yulian Pauli Fardani
International Programs
No abstract provided.
Refuse-Derived Fuel (Rdf) From Solid Waste, Zahraa Alkazzaz
Refuse-Derived Fuel (Rdf) From Solid Waste, Zahraa Alkazzaz
International Programs
No abstract provided.
Trump Account Automatic Enrollment And Social Security Enumeration At Birth, Jin Huang, Michael Sherraden, Lissa Johnson
Trump Account Automatic Enrollment And Social Security Enumeration At Birth, Jin Huang, Michael Sherraden, Lissa Johnson
Center for Social Development Research
The Trump Account policy launched on July 4, 2026, offering investment accounts to all U.S. children who are under 18 and have a Social Security number. On July 3, the Social Security Administration announced that it will integrate Trump Account enrollment into the hospital birth-registration process through the agency’s Enumeration at Birth (EAB) Program. This could be a positive step toward automatic enrollment and full participation. This brief identifies the two key design choices that need to be resolved if the policy is to achieve automatic enrollment. The work also presents the framework for an integration built on the Social …
Enhancing Cancer Diagnosis And Treatment Planning Through Multi-Modal Imaging Techniques: A Literature Review, Ngan Kim Le
Enhancing Cancer Diagnosis And Treatment Planning Through Multi-Modal Imaging Techniques: A Literature Review, Ngan Kim Le
Radiologic Sciences
Purpose To examine how combining magnetic resonance (MR), computed tomography (CT), and positron emission tomography (PET) enhances clinical outcomes in complex or metastatic cancers, focusing on diagnostic performance, staging accuracy, and effects on treatment decisions.
Method Data were extracted and analyzed using a thematic synthesis approach for this literature review. Key variables included study design, sample size, cancer type, imaging modalities used, and reported diagnostic outcomes such as sensitivity, specificity, and accuracy.
Results The integration of multiple imaging modalities enhanced diagnostic performance, improved differentiation between tumor recurrence and posttreatment changes, and increased detection of occult metastatic disease. Advanced imaging approaches, …
"Help Me Live It The Way You Do": Grounding Singaporean Responses To The Rorschach Situation, Casey Y. Lee
"Help Me Live It The Way You Do": Grounding Singaporean Responses To The Rorschach Situation, Casey Y. Lee
Electronic Theses and Dissertations
Contemporary research on the Rorschach and culture is striking for the latter’s disappearance as a variable of significance (Meyer et al., 2015; Meyer et al., 2007; Mihura et al., 2013; Viglione & Hilsenroth, 2001). This erasure is chronicled and reproduced in the narratives of universal objectivity, of extensive international meta-analyses, of replications, of standardized norms (Ritzler, 2004; Smith et al., 2018; Smith et al., 2020; Weiner, 2004). A different story emerges, however, when we ask, how has culture disappeared? The proposed study is a multimethod qualitative analysis of Singaporean responses to the Rorschach, aimed at generating sensitive yet critical discourses …
08-19-26 Bor Hsc Committee Notice Of Meeting, Patricia Serna
08-19-26 Bor Hsc Committee Notice Of Meeting, Patricia Serna
HSC Committee (A subcommittee of the UNM Board of Regents)
08-19-26 BOR HSC Committee Notice of Meeting
Quality Improvement Project From Novice-To-Expert: Training Nurse Faculty On Virtual Simulation, Dae'visha Kinniebrew
Quality Improvement Project From Novice-To-Expert: Training Nurse Faculty On Virtual Simulation, Dae'visha Kinniebrew
Doctor of Nursing Practice Projects
Virtual simulation is an evidence-based teaching strategy that enhances student learning; however, inconsistent faculty preparation limits its implementation in nursing education. A needs assessment identified a practice gap, with 70% of nursing faculty reporting no virtual simulation training within the previous 12 months. The purpose of this Doctor of Nursing Practice (DNP) quality improvement (QI) project was to evaluate the effectiveness of a structured non-immersive virtual simulation training program on nursing faculty confidence, perceived competence, and technology readiness in an Associate Degree Nursing (ADN) program. The aim was to improve faculty preparedness to implement non-immersive virtual simulation. A quantitative, quasi-experimental, …
Lorascan: Detecting Backdoor Prompts In Low-Rank Adapters For Large Language Models Via Down-Projection Activation Spike, Doniyorkhon Obidov, Honggang Yu, Xiaolong Guo, Kaichen Yang
Lorascan: Detecting Backdoor Prompts In Low-Rank Adapters For Large Language Models Via Down-Projection Activation Spike, Doniyorkhon Obidov, Honggang Yu, Xiaolong Guo, Kaichen Yang
Michigan Tech Publications
Low-rank adaptation (LoRA) enables efficient specialization and distribution of large language models through compact adapters. However, untrusted adapters introduce a supply- chain threat: a backdoored adapter can cause a model to gen- erate harmful content, malicious code, political propaganda, or covert advertisements when an input contains a hidden trig- ger. Adapter-agnostic defenses merge the adapter with the base model, which dilutes backdoor signals and reduces detection performance. Existing adapter-aware methods do not address how to safely use a potentially backdoored adapter. Instead, they either train a defensive adapter to repair a backdoored base model, addressing the inverse problem rather than …